Data is the most valuable part of any organization. It can help their businesses grow in today’s competitive world and enhance customer satisfaction. However, it depends on how useful data is analyzed, and insights are found.
As we’re stepping into evolving technologies, AI is transforming the way organizations analyze their data. Instead of traditional time-consuming data analysis, AI can make the data analyzing process much easier. It can help businesses find the most meaningful insights to make data-driven decisions.
This is where AI analytics tools are a great solution for organizations to analyze and find meaningful insights into the data. However, there are thousands of AI analytics tools available in the market. Then which one is best?
So, we’ve picked the top 7 free AI analytics tools that are known for their unique features and benefits. But first, we understand the role of AI in big data and how it’s beneficial.
AI is now playing a crucial role in data analysis. Because it’s a powerful machine learning algorithm that can be used to analyze, interpret, and extract valuable insights from the raw complex database.
With the help of AI analytics tools, businesses can identify the data types, find possible connections between datasets, recognize patterns, identify errors to resolve, and reduce the chances of human errors in data analysis. An AI tool can do many things with raw data that are not humanly possible, and that’s why businesses are shifting towards AI.
There are various reasons why organizations must use AI tools for big data analysis:
- It processes big data faster and more accurately
- It provides predictions and recommendations after analysis
- It can identify future trends
- It helps in streamlining operations
- It uncovers hidden patterns
By using powerful AI analytics tools, businesses can refine their raw data into valuable information that can provide numerous insights about their business for growth, improvement, and scalability.
So, here we’ve compiled a list of some of the best free AI analytics tools for data analysis.
Top 7 AI Analytics Tools for Big Data in 2024 [Free]
KNIME
KNIME is a free AI analytics tool that can help businesses analyze data and get valuable insights from it. It offers a wide range of data analysis, including records planning, visualization, device orientation, preprocessing, etc. There’s a no-code environment specially designed for data analysts to focus deeply on the methodology and intent of their analysis.
Key Features:
- Connect to multiple data sources
- Interactive data analysis
- Interactive Data Cleaning and Enrichment
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Pros
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Cons
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A large number of built-in nodes and functions
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Lack of report customization
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Interactive visual data flow creation
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Time-consuming
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Seamless integration with API, DBs, and Tabular files
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Pricing: It offers a free plan for individuals and a paid plan starting from $285/month.
Microsoft Power BI
Microsoft Power BI is another popular and trusted AI analytics tool. It offers an interactive dashboard, data visualization, and reporting option, which makes the data analysis process easier. It allows organizations to analyze data from multiple sources. Microsoft Power BI comes with advanced analytics capabilities to analyze and get valuable insights.
Key Features:
- Smart dashboard
- Advanced Reporting
- Allow integration with other Microsoft products
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Pros
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Cons
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High-data connectivity
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Low data handling capacity in the free version
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Wide range of custom data visualization
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Table relationships
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Excel integration
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Pricing: It offers a free version and paid plan starting from $9.99 per user/month.
QlikView
QlikView is an advanced BI tool that allows businesses to store raw data and analyze and display meaningful insights. It’s fast, responsive, and capable of analyzing large complex datasets to get valuable information and showcase via visualization charts, graphs, tables, etc. It can help users understand the data from multiple perspectives across all data.
Key Features:
- In-memory storage technology support
- Unique data discovery and global search
- Interactive guided analysis
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Pros
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Cons
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Self-Service BI tool
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Limited features in the free version
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Fast-performance and high-end security
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Poor customer support
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Easy configuration
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Pricing: It offers a free plan with limited features and premium plans starts from $20 per user /month.
Microsoft Azure Machine Learning
Microsoft Azure Machine Learning is another in our list of top AI analytics tools. It’s a cloud-based tool that offers different processing activities for raw data. It helps data scientists, engineers, and machine learning experts use data processing skills and help businesses find valuable insights to make data-driven decisions.
Key Features:
- Automated machine learning
- No-code environment for building ML models
- Predefined and Custom ML Pipelines
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Pros
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Cons
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Hybrid cloud capabilities
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Requires Platform Expertise
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Extensive documentation and support
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Difficult data integration process
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Easy algorithm adoption
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Pricing: It offers a free version with limited options and custom pricing to pay for what you use.
RapidMiner
RapidMiner is one of the powerful AI analytics tools that help data analysts analyze large datasets. It is recommended for data mining and data analysis tasks. It offers building data pipelines, creating predictive models, doing ML experiments, and much more. It allows users to analyze any form of data, including texts, photos, and audio files.
Key Features:
- Build data and ML workflows
- Process and display real-time data
- Easy integration with multiple database warehouses
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Pros
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Cons
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Large library of ML algorithms
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The free version has limitations
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Interactive interface and ease of use
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Doesn’t handle large data
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Workflow visualization
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Pricing: There’s a free version available, and it’s paid plans starting from $95/month with advanced features.
Google Cloud AutoML
Google Cloud AutoML is an interactive analytical tool that helps data scientists and developers analyze datasets, create and deploy custom ML models, and help businesses scale. The ML workflow contains all four stages, including data preprocessing, feature engineering, creating models, and deploying models. It enhances the focus on scalability.
Key Features:
- End-to-End AutoML model preparation
- Activity Dashboard
- Predictive Modeling
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Pros
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Cons
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Pre-built models
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Data dependence
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Integration with Google Cloud tools
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Limited customization
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Automate tasks
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Pricing: It offers free credits to access the tool and has a pay-as-you-go pricing structure.
IBM Watson Analytics
IBM Watson Analytics is a cloud-based data analysis platform that allows users to analyze data using natural language processes. Users can import data from multiple sources to perform tasks like data preparation, cleaning tasks, and advanced analytics. It’s one of the best AI analtics tools for finding insights and making data-driven decisions.
Key Features:
- Customizable interactive dashboard
- Natural language understanding
- Automate predictive analytics
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Pros
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Cons
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Easy integration with various technologies and datasets
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Sometimes, it is difficult to navigate
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Customizable reports
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Not beginner-friendly
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Fast indexing system
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Pricing: It offers a free version and its paid plans starting from $825 for five users/month.
Wrapping Up!
AI analytical tools have completely changed how data is analyzed. Now, they produce more valuable and accurate insights from raw data, which helps businesses make data-driven decisions and focus on scalability. It also saves time and reduces human errors with a cost-effective option.
Now, it’s easier for businesses to analyze data, identify patterns, predict trends, and identify errors and relations between the data with the help of AI analytical tools. We hope this guide helps you explore the seven most popular and free AI analytics tools that can help your business grow. Now, it’s your turn to choose the right AI analytics tool and unlock your business potential.
How AI tools can improve data analysis?
With the help of data analysis tools, businesses can refine their raw data, find meaningful insights, uncover hidden patterns, predict future trends, and give actionable data to make data-driven decisions and improve efficiency and growth.
Are AI tools suitable for all types of industries and datasets?
Yes, AI tools are suitable for all industries and data types. Some top industries are health care, finances, marketing, and E-commerce.
Is programming skills necessary for data analysis?
There are various AI tools available with user-friendly interfaces that don’t require programming skills. However, some advanced AI tools that developers and engineers used required programming skills for advanced analysis.
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